Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use cahya/whisper-large-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/whisper-large-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cahya/whisper-large-id")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cahya/whisper-large-id") model = AutoModelForSpeechSeq2Seq.from_pretrained("cahya/whisper-large-id") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e705b3eaefcb0f11fef50dcef41f2a96925efeecb535acee5eff4ecee79c7767
- Size of remote file:
- 3.52 kB
- SHA256:
- 04df9ae1c5ab8575b392b22d30fe45d585e621a707d5aa451b8a3475bded3033
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